The authors provide two datasets, but no further documentation - thus, we started by attempting to automatically generate some codebooks to understand the data
library(haven)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(codebook)
dat1 <- read_dta("reproduction_materials/combined data OSF.dta")
dat2 <- read_dta("reproduction_materials/manager survey data OSF.dta")
codebook(dat1)
Dataset name: dat1
The dataset has N=1184 rows and 51 columns. 0 rows have no missing values on any column.
|
#Variables
DV type
Distribution of values for method_tokens
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| method_tokens | DV type | numeric | 0 | 1 | 0 | 0 | 1 | 0.1731419 | 0.3785298 | ▇▁▁▁▂ | %9.0g |
student or mturk sample
Distribution of values for students
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| students | student or mturk sample | numeric | 0 | 1 | 0 | 0 | 1 | 0.1435811 | 0.3508126 | ▇▁▁▁▂ | %9.0g |
control / advantage / disdvantage conditions
Distribution of values for cond
1 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cond | control / advantage / disdvantage conditions | haven_labelled | 1 | 0.9991554 | 1 | 2 | 3 | 2.000845 | 0.8170141 | 3 | ▇▁▁▇▁▁▁▇ | %12.0g |
| name | value |
|---|---|
| Control | 1 |
| Advantage | 2 |
| Disadvantage | 3 |
study
Distribution of values for study
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| study | study | numeric | 0 | 1 | 1 | 5 | 5 | 4.021115 | 1.301041 | ▂▂▁▅▇ | %9.0g |
in analytic sample
Distribution of values for sample
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sample | in analytic sample | numeric | 0 | 1 | 0 | 1 | 1 | 0.8800676 | 0.3250198 | ▁▁▁▁▇ | %9.0g |
all conditions in study 5
Distribution of values for s5_cond
579 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s5_cond | all conditions in study 5 | haven_labelled | 579 | 0.5109797 | 1 | 4 | 6 | 3.515703 | 1.70852 | 6 | ▇▇▁▇▇▁▇▇ | %23.0g |
| name | value |
|---|---|
| control / minority | 1 |
| control / majority | 2 |
| disadvantage / minority | 3 |
| disadvantage / majority | 4 |
| advantage / minority | 5 |
| advantage / majority | 6 |
majority / minority status in study 5
Distribution of values for s5_majority
579 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| s5_majority | majority / minority status in study 5 | numeric | 579 | 0.5109797 | 0 | 1 | 1 | 0.5024793 | 0.5004076 | ▇▁▁▁▇ | %10.0g |
chance of bonus if giving 0 tokens
Distribution of values for s2_tokens_0
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_0 | chance of bonus if giving 0 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 1 | 5 | 1.378641 | 0.8869037 | 5 | ▇▁▁▁▁▁▁▁ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus if giving 2 tokens
Distribution of values for s2_tokens_2
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_2 | chance of bonus if giving 2 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 2 | 5 | 1.92233 | 0.8596547 | 5 | ▅▇▁▂▁▁▁▁ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus if giving 4 tokens
Distribution of values for s2_tokens_4
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_4 | chance of bonus if giving 4 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 3 | 5 | 2.563107 | 0.8594333 | 5 | ▂▇▁▇▁▂▁▁ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus if giving 6 tokens
Distribution of values for s2_tokens_6
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_6 | chance of bonus if giving 6 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 3 | 5 | 3.300971 | 0.8498553 | 5 | ▁▃▁▇▁▇▁▁ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus if giving 8 tokens
Distribution of values for s2_tokens_8
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_8 | chance of bonus if giving 8 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 4 | 5 | 3.883495 | 0.8666022 | 5 | ▁▁▁▂▁▇▁▃ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus if giving 10 tokens
Distribution of values for s2_tokens_10
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_10 | chance of bonus if giving 10 tokens | haven_labelled | 1081 | 0.0869932 | 1 | 5 | 5 | 4.475728 | 0.8949166 | 5 | ▁▁▁▁▁▃▁▇ | %13.0g |
| name | value |
|---|---|
| very unlikely | 1 |
| unlikely | 2 |
| neutral | 3 |
| likely | 4 |
| likely | 5 |
chance of bonus, avg over all token levels
Distribution of values for s2_tokens_mean
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_tokens_mean | chance of bonus, avg over all token levels | numeric | 1081 | 0.0869932 | 1.3 | 2.8 | 5 | 2.920712 | 0.6382185 | ▂▃▇▁▁ | %9.0g |
performance slope for study 2
Distribution of values for s2_performance_slope
1081 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| s2_performance_slope | performance slope for study 2 | numeric | 1081 | 0.0869932 | -0.6 | 0.8 | 0.8 | 0.6194175 | 0.2693705 | ▁▁▁▁▇ | %9.0g |
number of tokens given
Distribution of values for tokens
980 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| tokens | number of tokens given | numeric | 980 | 0.1722973 | 0 | 5 | 10 | 5.617647 | 2.984506 | ▅▃▇▆▆ | %9.0g |
tokens standardized within study
Distribution of values for ztokens
987 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ztokens | tokens standardized within study | numeric | 987 | 0.1663851 | -2 | -0.17 | 1.7 | -1e-07 | 1.05659 | ▅▃▇▆▆ | %9.0g |
chance of bonus at much lower performance than other(s)
Distribution of values for muchlower_score
210 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| muchlower_score | chance of bonus at much lower performance than other(s) | numeric | 210 | 0.8226351 | 0 | 2 | 100 | 14.64066 | 21.82398 | ▇▁▁▁▁ | %9.0g |
chance of bonus at lower performance than other(s)
Distribution of values for lower_score
211 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| lower_score | chance of bonus at lower performance than other(s) | numeric | 211 | 0.8217905 | 0 | 18 | 100 | 23.00308 | 24.58091 | ▇▃▂▁▁ | %9.0g |
chance of bonus at about same performance than other(s)
Distribution of values for same_score
208 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| same_score | chance of bonus at about same performance than other(s) | numeric | 208 | 0.8243243 | 0 | 50 | 100 | 45.86373 | 25.5882 | ▃▃▇▂▂ | %9.0g |
chance of bonus at higher performance than other(s)
Distribution of values for higher_score
207 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| higher_score | chance of bonus at higher performance than other(s) | numeric | 207 | 0.8251689 | 0 | 74 | 100 | 70.77789 | 26.12181 | ▁▂▅▆▇ | %9.0g |
chance of bonus at much higher performance than other(s)
Distribution of values for muchhigher_score
207 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| muchhigher_score | chance of bonus at much higher performance than other(s) | numeric | 207 | 0.8251689 | 0 | 97 | 100 | 83.20266 | 23.47382 | ▁▁▂▂▇ | %9.0g |
chance of bonus, avg over all performance levels
Distribution of values for bonus_chance
206 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| bonus_chance | chance of bonus, avg over all performance levels | numeric | 206 | 0.8260135 | 0 | 48 | 100 | 47.52509 | 18.38126 | ▁▃▇▂▁ | %9.0g |
avg increase in chance of bonus for 1 increment increase in performance
Distribution of values for performance_slope
341 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| performance_slope | avg increase in chance of bonus for 1 increment increase in performance | numeric | 341 | 0.7119932 | -8.5 | 20 | 32 | 17.5603 | 7.390923 | ▁▂▆▇▇ | %9.0g |
performance slope stdized within study
Distribution of values for z_performance_slope
245 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_performance_slope | performance slope stdized within study | numeric | 245 | 0.7930743 | -4.4 | 0.36 | 2.3 | -2e-07 | 1.130051 | ▁▂▅▇▆ | %9.0g |
same as z_performance_slope
Distribution of values for z_slope
245 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_slope | same as z_performance_slope | numeric | 245 | 0.7930743 | -4.4 | 0.36 | 2.3 | -2e-07 | 1.130051 | ▁▂▅▇▆ | %9.0g |
same as performance slope
Distribution of values for slope
341 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| slope | same as performance slope | numeric | 341 | 0.7119932 | -8.5 | 20 | 32 | 17.5603 | 7.390923 | ▁▂▆▇▇ | %9.0g |
count of number searches answered correctly
Distribution of values for score
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| score | count of number searches answered correctly | numeric | 205 | 0.8268581 | 0 | 6 | 29 | 7.875383 | 6.226863 | ▇▅▂▁▁ | %9.0g |
percentage of number searches answered correctly
Distribution of values for percent
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| percent | percentage of number searches answered correctly | numeric | 205 | 0.8268581 | 0 | 0.71 | 1 | 0.6943476 | 0.2312669 | ▁▂▃▇▇ | %9.0g |
count of number searches attempted
Distribution of values for numbersearches
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| numbersearches | count of number searches attempted | numeric | 205 | 0.8268581 | 1 | 9 | 30 | 11.34321 | 8.311465 | ▇▆▃▂▂ | %9.0g |
ln of numbersearches
Distribution of values for ln_numbersearches
340 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ln_numbersearches | ln of numbersearches | numeric | 340 | 0.7128378 | 0 | 2.2 | 3.4 | 2.1174 | 0.8538423 | ▁▃▆▇▆ | %9.0g |
square root of number searches
Distribution of values for sqrt_numbersearches
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sqrt_numbersearches | square root of number searches | numeric | 205 | 0.8268581 | 1 | 3 | 5.5 | 3.132671 | 1.237393 | ▆▇▇▅▅ | %9.0g |
numbersearches standardized within study
Distribution of values for znumbersearches
340 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| znumbersearches | numbersearches standardized within study | numeric | 340 | 0.7128378 | -1.5 | -0.35 | 2.4 | -0.0687235 | 1.00969 | ▆▇▃▂▂ | %9.0g |
ln_numbersearches standardized within study
Distribution of values for z_ln_numbersearches
340 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_ln_numbersearches | ln_numbersearches standardized within study | numeric | 340 | 0.7128378 | -2.6 | 0.14 | 1.6 | 3e-07 | 1.014144 | ▁▃▇▇▆ | %9.0g |
sqrt_numbersearches standardized within study
Distribution of values for z_sqrt_numbersearches
340 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_sqrt_numbersearches | sqrt_numbersearches standardized within study | numeric | 340 | 0.7128378 | -1.8 | -0.053 | 2.1 | 1e-07 | 1.006216 | ▅▇▇▅▃ | %9.0g |
tokens/numsearches stdized within study
Distribution of values for z_effort
143 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_effort | tokens/numsearches stdized within study | numeric | 143 | 0.879223 | -2 | -0.25 | 2.4 | -0.0557182 | 1.018569 | ▃▇▅▃▂ | %9.0g |
tokens/ln_numsearches stdized within study
Distribution of values for z_ln_effort
143 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_ln_effort | tokens/ln_numsearches stdized within study | numeric | 143 | 0.879223 | -2.6 | 0.093 | 1.7 | 2e-07 | 1.021794 | ▁▅▇▇▆ | %9.0g |
tokens/sqrt_numsearches stdized within study
Distribution of values for z_sqrt_effort
143 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| z_sqrt_effort | tokens/sqrt_numsearches stdized within study | numeric | 143 | 0.879223 | -2 | -0.12 | 2.1 | 1e-07 | 1.015422 | ▃▆▇▅▃ | %9.0g |
age
Distribution of values for age
207 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| age | age | numeric | 207 | 0.8251689 | 18 | 32 | 73 | 33.14432 | 10.49867 | ▇▇▃▁▁ | %9.0g |
gender
Distribution of values for gender
273 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| gender | gender | numeric | 273 | 0.7694257 | 1 | 2 | 3 | 1.711306 | 0.4928874 | ▃▁▇▁▁ | %9.0g |
woman or other gender
Distribution of values for woman_other
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| woman_other | woman or other gender | numeric | 205 | 0.8268581 | 0 | 1 | 1 | 0.7017365 | 0.4577296 | ▃▁▁▁▇ | %9.0g |
race
Distribution of values for race
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| race | race | haven_labelled | 205 | 0.8268581 | 1 | 1 | 8 | 1.759959 | 1.425947 | 8 | ▇▁▂▁▁▁▁▁ | %16.0g |
| name | value |
|---|---|
| White | 1 |
| Black | 2 |
| Hispanic | 3 |
| Native | 4 |
| Asian | 5 |
| Pacific Islander | 6 |
| Multiracial | 7 |
| Other Race | 8 |
any nonwhite race
Distribution of values for nonwhite
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| nonwhite | any nonwhite race | numeric | 205 | 0.8268581 | 0 | 0 | 1 | 0.3146067 | 0.4645964 | ▇▁▁▁▃ | %9.0g |
educational attainment
Distribution of values for educ
283 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| educ | educational attainment | haven_labelled | 283 | 0.7609797 | 1 | 4 | 6 | 4.069922 | 1.318499 | 6 | ▁▃▁▇▃▁▇▅ | %16.0g |
| name | value |
|---|---|
| <HS | 1 |
| HS | 2 |
| Some college | 3 |
| AA/2-year degree | 4 |
| BA/4-year degree | 5 |
| Postgrad | 6 |
any college degree
Distribution of values for college
283 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| college | any college degree | numeric | 283 | 0.7609797 | 0 | 0 | 1 | 0.4539401 | 0.4981505 | ▇▁▁▁▆ | %9.0g |
subjective SES
Distribution of values for sses
205 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sses | subjective SES | numeric | 205 | 0.8268581 | 1 | 5 | 10 | 5.105209 | 1.756135 | ▁▆▇▅▁ | %9.0g |
political conservatism
Distribution of values for pol
273 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| pol | political conservatism | numeric | 273 | 0.7694257 | 1 | 4 | 7 | 3.521405 | 1.60642 | ▆▃▇▂▃ | %9.0g |
manager
Distribution of values for manage
273 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| manage | manager | numeric | 273 | 0.7694257 | 0 | 0 | 1 | 0.3106476 | 0.463013 | ▇▁▁▁▃ | %9.0g |
employment status
Distribution of values for empstat
273 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| empstat | employment status | haven_labelled | 273 | 0.7694257 | 1 | 1 | 7 | 2.236004 | 1.668143 | 7 | ▇▂▂▂▁▁▁▁ | %10.0g |
| name | value |
|---|---|
| Full-Time | 1 |
| Part-Time | 2 |
| Unemployed | 3 |
| Homemaker | 4 |
| Student | 5 |
| Retired | 6 |
| Other | 7 |
working full or part time
Distribution of values for working
273 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| working | working full or part time | numeric | 273 | 0.7694257 | 0 | 1 | 1 | 0.6794731 | 0.4669355 | ▃▁▁▁▇ | %9.0g |
household income
Distribution of values for house_income
287 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| house_income | household income | numeric | 287 | 0.7576014 | 10 | 70 | 375 | 106.6054 | 108.6935 | ▇▃▁▁▂ | %9.0g |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "dat1",
"datePublished": "2024-01-25",
"description": "The dataset has N=1184 rows and 51 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["method_tokens", "students", "cond", "study", "sample", "s5_cond", "s5_majority", "s2_tokens_0", "s2_tokens_2", "s2_tokens_4", "s2_tokens_6", "s2_tokens_8", "s2_tokens_10", "s2_tokens_mean", "s2_performance_slope", "tokens", "ztokens", "muchlower_score", "lower_score", "same_score", "higher_score", "muchhigher_score", "bonus_chance", "performance_slope", "z_performance_slope", "z_slope", "slope", "score", "percent", "numbersearches", "ln_numbersearches", "sqrt_numbersearches", "znumbersearches", "z_ln_numbersearches", "z_sqrt_numbersearches", "z_effort", "z_ln_effort", "z_sqrt_effort", "age", "gender", "woman_other", "race", "nonwhite", "educ", "college", "sses", "pol", "manage", "empstat", "working", "house_income"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "method_tokens",
"description": "DV type",
"@type": "propertyValue"
},
{
"name": "students",
"description": "student or mturk sample",
"@type": "propertyValue"
},
{
"name": "cond",
"description": "control / advantage / disdvantage conditions",
"value": "1. Control,\n2. Advantage,\n3. Disadvantage",
"maxValue": 3,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "study",
"description": "study",
"@type": "propertyValue"
},
{
"name": "sample",
"description": "in analytic sample",
"@type": "propertyValue"
},
{
"name": "s5_cond",
"description": "all conditions in study 5",
"value": "1. control / minority,\n2. control / majority,\n3. disadvantage / minority,\n4. disadvantage / majority,\n5. advantage / minority,\n6. advantage / majority",
"maxValue": 6,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s5_majority",
"description": "majority / minority status in study 5",
"@type": "propertyValue"
},
{
"name": "s2_tokens_0",
"description": "chance of bonus if giving 0 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_2",
"description": "chance of bonus if giving 2 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_4",
"description": "chance of bonus if giving 4 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_6",
"description": "chance of bonus if giving 6 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_8",
"description": "chance of bonus if giving 8 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_10",
"description": "chance of bonus if giving 10 tokens",
"value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "s2_tokens_mean",
"description": "chance of bonus, avg over all token levels",
"@type": "propertyValue"
},
{
"name": "s2_performance_slope",
"description": "performance slope for study 2",
"@type": "propertyValue"
},
{
"name": "tokens",
"description": "number of tokens given",
"@type": "propertyValue"
},
{
"name": "ztokens",
"description": "tokens standardized within study",
"@type": "propertyValue"
},
{
"name": "muchlower_score",
"description": "chance of bonus at much lower performance than other(s)",
"@type": "propertyValue"
},
{
"name": "lower_score",
"description": "chance of bonus at lower performance than other(s)",
"@type": "propertyValue"
},
{
"name": "same_score",
"description": "chance of bonus at about same performance than other(s)",
"@type": "propertyValue"
},
{
"name": "higher_score",
"description": "chance of bonus at higher performance than other(s)",
"@type": "propertyValue"
},
{
"name": "muchhigher_score",
"description": "chance of bonus at much higher performance than other(s)",
"@type": "propertyValue"
},
{
"name": "bonus_chance",
"description": "chance of bonus, avg over all performance levels",
"@type": "propertyValue"
},
{
"name": "performance_slope",
"description": "avg increase in chance of bonus for 1 increment increase in performance",
"@type": "propertyValue"
},
{
"name": "z_performance_slope",
"description": "performance slope stdized within study",
"@type": "propertyValue"
},
{
"name": "z_slope",
"description": "same as z_performance_slope",
"@type": "propertyValue"
},
{
"name": "slope",
"description": "same as performance slope",
"@type": "propertyValue"
},
{
"name": "score",
"description": "count of number searches answered correctly",
"@type": "propertyValue"
},
{
"name": "percent",
"description": "percentage of number searches answered correctly",
"@type": "propertyValue"
},
{
"name": "numbersearches",
"description": "count of number searches attempted",
"@type": "propertyValue"
},
{
"name": "ln_numbersearches",
"description": "ln of numbersearches",
"@type": "propertyValue"
},
{
"name": "sqrt_numbersearches",
"description": "square root of number searches",
"@type": "propertyValue"
},
{
"name": "znumbersearches",
"description": "numbersearches standardized within study",
"@type": "propertyValue"
},
{
"name": "z_ln_numbersearches",
"description": "ln_numbersearches standardized within study",
"@type": "propertyValue"
},
{
"name": "z_sqrt_numbersearches",
"description": "sqrt_numbersearches standardized within study",
"@type": "propertyValue"
},
{
"name": "z_effort",
"description": "tokens/numsearches stdized within study",
"@type": "propertyValue"
},
{
"name": "z_ln_effort",
"description": "tokens/ln_numsearches stdized within study",
"@type": "propertyValue"
},
{
"name": "z_sqrt_effort",
"description": "tokens/sqrt_numsearches stdized within study",
"@type": "propertyValue"
},
{
"name": "age",
"description": "age",
"@type": "propertyValue"
},
{
"name": "gender",
"description": "gender",
"@type": "propertyValue"
},
{
"name": "woman_other",
"description": "woman or other gender",
"@type": "propertyValue"
},
{
"name": "race",
"description": "race",
"value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. Multiracial,\n8. Other Race",
"maxValue": 8,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "nonwhite",
"description": "any nonwhite race",
"@type": "propertyValue"
},
{
"name": "educ",
"description": "educational attainment",
"value": "1. <HS,\n2. HS,\n3. Some college,\n4. AA/2-year degree,\n5. BA/4-year degree,\n6. Postgrad",
"maxValue": 6,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "college",
"description": "any college degree",
"@type": "propertyValue"
},
{
"name": "sses",
"description": "subjective SES",
"@type": "propertyValue"
},
{
"name": "pol",
"description": "political conservatism",
"@type": "propertyValue"
},
{
"name": "manage",
"description": "manager",
"@type": "propertyValue"
},
{
"name": "empstat",
"description": "employment status",
"value": "1. Full-Time,\n2. Part-Time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
"maxValue": 7,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "working",
"description": "working full or part time",
"@type": "propertyValue"
},
{
"name": "house_income",
"description": "household income",
"@type": "propertyValue"
}
]
}`
codebook(dat2)
Dataset name: dat2
The dataset has N=107 rows and 55 columns. 0 rows have no missing values on any column.
|
#Variables
warmth scale item
Distribution of values for warm
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| warm | warmth scale item | numeric | 0 | 1 | 1 | 4 | 7 | 4.205608 | 1.034666 | ▁▁▇▁▂ | %8.0g |
warmth scale item
Distribution of values for trustworthy
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| trustworthy | warmth scale item | numeric | 0 | 1 | 2 | 4 | 7 | 4.785047 | 1.132938 | ▁▇▃▃▂ | %8.0g |
warmth scale item
Distribution of values for friendly
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| friendly | warmth scale item | numeric | 0 | 1 | 1 | 4 | 7 | 4.205608 | 0.9784308 | ▁▁▇▂▁ | %8.0g |
warmth scale item
Distribution of values for honest
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| honest | warmth scale item | numeric | 0 | 1 | 1 | 4 | 7 | 4.542056 | 1.048632 | ▁▁▇▃▃ | %8.0g |
warmth scale item
Distribution of values for likeable
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| likeable | warmth scale item | numeric | 0 | 1 | 2 | 4 | 7 | 4.401869 | 1.062747 | ▂▇▂▂▁ | %8.0g |
warmth scale item
Distribution of values for sincere
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sincere | warmth scale item | numeric | 0 | 1 | 2 | 4 | 7 | 4.420561 | 1.090589 | ▂▇▂▂▁ | %8.0g |
competence scale item
Distribution of values for competent
1 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| competent | competence scale item | numeric | 1 | 0.9906542 | 2 | 5 | 7 | 5.132076 | 1.121865 | ▂▆▇▆▃ | %8.0g |
competence scale item
Distribution of values for intelligent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| intelligent | competence scale item | numeric | 0 | 1 | 2 | 4 | 7 | 4.728972 | 1.137442 | ▁▇▃▂▂ | %8.0g |
competence scale item
Distribution of values for skilled
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| skilled | competence scale item | numeric | 0 | 1 | 2 | 5 | 7 | 4.953271 | 1.102169 | ▁▇▆▆▂ | %8.0g |
competence scale item
Distribution of values for efficient
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| efficient | competence scale item | numeric | 0 | 1 | 2 | 6 | 7 | 5.682243 | 1.095429 | ▁▂▃▇▅ | %8.0g |
competence scale item
Distribution of values for assertive
1 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| assertive | competence scale item | numeric | 1 | 0.9906542 | 2 | 5 | 7 | 5.028302 | 1.198869 | ▁▇▆▅▃ | %8.0g |
competence scale item
Distribution of values for confident
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| confident | competence scale item | numeric | 0 | 1 | 2 | 5 | 7 | 4.915888 | 1.142007 | ▁▇▆▅▂ | %8.0g |
warmth scale
Distribution of values for warmth
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| warmth | warmth scale | numeric | 0 | 1 | 2.7 | 4 | 7 | 4.426791 | 0.8700037 | ▁▇▂▂▁ | %9.0g |
warmth 4 centered
Distribution of values for warmth_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| warmth_cent | warmth 4 centered | numeric | 0 | 1 | -1.3 | 0 | 3 | 0.4267913 | 0.8700037 | ▁▇▂▂▁ | %9.0g |
warmth stdized, 4 centered
Distribution of values for zwarmth
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| zwarmth | warmth stdized, 4 centered | numeric | 0 | 1 | -1.5 | 0 | 3.4 | 0.4792399 | 0.976919 | ▁▇▂▂▁ | %9.0g |
competence scale
Distribution of values for comp
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| comp | competence scale | numeric | 0 | 1 | 2.8 | 5 | 7 | 5.075078 | 0.8928565 | ▁▅▇▇▂ | %9.0g |
comp 4 centered
Distribution of values for comp_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| comp_cent | comp 4 centered | numeric | 0 | 1 | -1.2 | 1 | 3 | 1.075078 | 0.8928565 | ▁▅▇▇▂ | %9.0g |
comp stdized, 4 centered
Distribution of values for zcomp
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| zcomp | comp stdized, 4 centered | numeric | 0 | 1 | -1.3 | 1.1 | 3.3 | 1.182032 | 0.9816822 | ▁▅▇▇▂ | %9.0g |
prefer to work with
Distribution of values for prefer
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| prefer | prefer to work with | numeric | 0 | 1 | 2 | 5 | 7 | 5.420561 | 1.213426 | ▂▅▇▇▆ | %8.0g |
prefer centered on 4
Distribution of values for prefer_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| prefer_cent | prefer centered on 4 | numeric | 0 | 1 | -2 | 1 | 3 | 1.420561 | 1.213426 | ▂▅▇▇▆ | %9.0g |
prefer stdized, 4 centered
Distribution of values for zprefer
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| zprefer | prefer stdized, 4 centered | numeric | 0 | 1 | -1.7 | 0.83 | 2.5 | 1.175257 | 1.003891 | ▂▅▇▇▆ | %9.0g |
prefer to promote or bonus
Distribution of values for promote_bonus
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| promote_bonus | prefer to promote or bonus | numeric | 0 | 1 | 2 | 6 | 7 | 5.691589 | 1.06763 | ▁▂▇▆▆ | %8.0g |
promote_bonus 4 centered
Distribution of values for promote_bonus_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| promote_bonus_cent | promote_bonus 4 centered | numeric | 0 | 1 | -2 | 2 | 3 | 1.691589 | 1.06763 | ▁▂▇▆▆ | %9.0g |
promote_bonus stdized, 4 centered
Distribution of values for zpromote_bonus
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| zpromote_bonus | promote_bonus stdized, 4 centered | numeric | 0 | 1 | -1.9 | 1.9 | 2.8 | 1.569508 | 0.9905799 | ▁▁▁▆▇ | %9.0g |
prefer to hire
Distribution of values for hire
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| hire | prefer to hire | numeric | 0 | 1 | 2 | 6 | 7 | 5.672897 | 1.096957 | ▁▂▆▇▆ | %8.0g |
hire 4 centered
Distribution of values for hire_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| hire_cent | hire 4 centered | numeric | 0 | 1 | -2 | 2 | 3 | 1.672897 | 1.096957 | ▁▂▆▇▆ | %9.0g |
hire stdized, 4 centered
Distribution of values for zhire
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| zhire | hire stdized, 4 centered | numeric | 0 | 1 | -1.8 | 1.8 | 2.7 | 1.521006 | 0.9973589 | ▁▂▆▇▆ | %9.0g |
mean of prefer, promote_bonus, hire
Distribution of values for work_outcome_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| work_outcome_cent | mean of prefer, promote_bonus, hire | numeric | 0 | 1 | -2 | 1.7 | 3 | 1.595016 | 0.9989806 | ▁▁▇▆▆ | %9.0g |
age
Distribution of values for age
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| age | age | numeric | 0 | 1 | 21 | 36 | 63 | 37.18692 | 8.448658 | ▃▇▇▂▁ | %8.0g |
age mean centered
Distribution of values for age_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| age_cent | age mean centered | numeric | 0 | 1 | -16 | -1.2 | 26 | -4.2e-06 | 8.448658 | ▃▇▇▂▁ | %9.0g |
gender
Distribution of values for gender
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gender | gender | haven_labelled | 0 | 1 | 1 | 2 | 3 | 1.514019 | 0.5206035 | 3 | ▇▁▁▇▁▁▁▁ | %8.0g |
| name | value |
|---|---|
| Man | 1 |
| Woman | 2 |
| Other | 3 |
gender text entry
Distribution of values for gender_3_text
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|
| gender_3_text | gender text entry | character | 0 | 1 | 2 | 106 | 0 | 9 | 0 | %9s |
woman or nonbinary
Distribution of values for women_nonbin
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| women_nonbin | woman or nonbinary | numeric | 0 | 1 | 0 | 1 | 1 | 0.5046729 | 0.502331 | ▇▁▁▁▇ | %9.0g |
race
Distribution of values for race
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| race | race | haven_labelled | 0 | 1 | 1 | 1 | 8 | 1.383178 | 1.178781 | 8 | ▇▁▁▁▁▁▁▁ | %16.0g |
| name | value |
|---|---|
| White | 1 |
| Black | 2 |
| Native | 3 |
| Asian | 4 |
| Pacific Islander | 5 |
| MENA | 6 |
| Multiracial | 7 |
| Other | 8 |
multiracial text entry
## No non-missing values to show.
107 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|
| race_7_text | multiracial text entry | numeric | 107 | 0 | NA | NA | NA | %8.0g |
other race text entry
Distribution of values for race_8_text
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|
| race_8_text | other race text entry | character | 0 | 1 | 3 | 105 | 0 | 8 | 0 | %9s |
hispanic
Distribution of values for hisp
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| hisp | hispanic | numeric | 0 | 1 | 0 | 0 | 1 | 0.0841121 | 0.2788621 | ▇▁▁▁▁ | %8.0g |
race w hispanic recoded as a race
Distribution of values for racev2
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| racev2 | race w hispanic recoded as a race | haven_labelled | 0 | 1 | 1 | 1 | 5 | 1.476635 | 1.075857 | 9 | ▇▁▁▁▁▁▁▁ | %16.0g |
| name | value |
|---|---|
| White | 1 |
| Black | 2 |
| Hispanic | 3 |
| Native | 4 |
| Asian | 5 |
| Pacific Islander | 6 |
| MENA | 7 |
| Multiracial | 8 |
| Other | 9 |
any nonwhite race
Distribution of values for nonwhite
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| nonwhite | any nonwhite race | numeric | 0 | 1 | 0 | 0 | 1 | 0.2056075 | 0.4060467 | ▇▁▁▁▂ | %9.0g |
educational attainment
Distribution of values for educ
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| educ | educational attainment | haven_labelled | 0 | 1 | 1 | 5 | 6 | 4.299065 | 1.319055 | 6 | ▁▂▁▆▂▁▇▅ | %12.0g |
| name | value |
|---|---|
| <HS | 1 |
| HS | 2 |
| Some College | 3 |
| AA/2-year | 4 |
| BA/4-year | 5 |
| Postgrad | 6 |
any college degree
Distribution of values for college
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| college | any college degree | numeric | 0 | 1 | 0 | 1 | 1 | 0.5514019 | 0.4996913 | ▆▁▁▁▇ | %9.0g |
employment statys
Distribution of values for empstat
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| empstat | employment statys | haven_labelled | 0 | 1 | 1 | 1 | 4 | 1.093458 | 0.3769968 | 7 | ▇▁▁▁▁▁▁▁ | %10.0g |
| name | value |
|---|---|
| Full-time | 1 |
| Part-time | 2 |
| Unemployed | 3 |
| Homemaker | 4 |
| Student | 5 |
| Retired | 6 |
| Other | 7 |
occupation
Distribution of values for occ
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|
| occ | occupation | character | 0 | 1 | 99 | 2 | 0 | 44 | 0 | %84s |
working full or part time
Distribution of values for working
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| working | working full or part time | numeric | 0 | 1 | 0 | 1 | 1 | 0.9906542 | 0.0966736 | ▁▁▁▁▇ | %9.0g |
manager
Distribution of values for manage
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| manage | manager | numeric | 0 | 1 | 0 | 1 | 1 | 0.8971963 | 0.3051316 | ▁▁▁▁▇ | %8.0g |
number of people managing
Distribution of values for manage_num
13 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| manage_num | number of people managing | haven_labelled | 13 | 0.8785047 | 1 | 2 | 4 | 1.819149 | 0.9153737 | 4 | ▇▁▅▁▁▃▁▁ | %8.0g |
| name | value |
|---|---|
| 1-5 | 1 |
| 5-10 | 2 |
| 10-25 | 3 |
| >25 | 4 |
income
Distribution of values for income
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| income | income | numeric | 0 | 1 | 10 | 70 | 375 | 76.61215 | 56.77896 | ▇▃▁▁▁ | %9.0g |
income mean centered
Distribution of values for income_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| income_cent | income mean centered | numeric | 0 | 1 | -67 | -6.6 | 298 | -3e-07 | 56.77896 | ▇▃▁▁▁ | %9.0g |
subjective SES
Distribution of values for sses
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sses | subjective SES | numeric | 0 | 1 | 2 | 6 | 9 | 5.607477 | 1.496896 | ▂▂▇▆▁ | %8.0g |
sses mean centered
Distribution of values for sses_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| sses_cent | sses mean centered | numeric | 0 | 1 | -3.6 | 0.39 | 3.4 | -3e-07 | 1.496896 | ▂▂▇▆▁ | %9.0g |
conservatism in social matters
Distribution of values for polsoc
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| polsoc | conservatism in social matters | numeric | 0 | 1 | 1 | 3 | 7 | 3.28972 | 1.827512 | ▇▅▅▂▃ | %8.0g |
conservatism in economic matters
Distribution of values for polecon
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| polecon | conservatism in economic matters | numeric | 0 | 1 | 1 | 4 | 7 | 3.850467 | 1.87236 | ▇▃▆▆▆ | %8.0g |
mean of polsoc and polecon
Distribution of values for pol
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| pol | mean of polsoc and polecon | numeric | 0 | 1 | 1 | 4 | 7 | 3.570094 | 1.774357 | ▇▃▇▂▃ | %9.0g |
pol mean centered
Distribution of values for pol_cent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| pol_cent | pol mean centered | numeric | 0 | 1 | -2.6 | 0.43 | 3.4 | 5e-07 | 1.774357 | ▇▃▇▂▃ | %9.0g |
p presented w findings such that blue group is harder working
Distribution of values for blue_advantage
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.stata |
|---|---|---|---|---|---|---|---|---|---|---|---|
| blue_advantage | p presented w findings such that blue group is harder working | numeric | 0 | 1 | 0 | 0 | 1 | 0.4672897 | 0.5012768 | ▇▁▁▁▇ | %8.0g |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "dat2",
"datePublished": "2024-01-25",
"description": "The dataset has N=107 rows and 55 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["warm", "trustworthy", "friendly", "honest", "likeable", "sincere", "competent", "intelligent", "skilled", "efficient", "assertive", "confident", "warmth", "warmth_cent", "zwarmth", "comp", "comp_cent", "zcomp", "prefer", "prefer_cent", "zprefer", "promote_bonus", "promote_bonus_cent", "zpromote_bonus", "hire", "hire_cent", "zhire", "work_outcome_cent", "age", "age_cent", "gender", "gender_3_text", "women_nonbin", "race", "race_7_text", "race_8_text", "hisp", "racev2", "nonwhite", "educ", "college", "empstat", "occ", "working", "manage", "manage_num", "income", "income_cent", "sses", "sses_cent", "polsoc", "polecon", "pol", "pol_cent", "blue_advantage"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "warm",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "trustworthy",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "friendly",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "honest",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "likeable",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "sincere",
"description": "warmth scale item",
"@type": "propertyValue"
},
{
"name": "competent",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "intelligent",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "skilled",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "efficient",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "assertive",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "confident",
"description": "competence scale item",
"@type": "propertyValue"
},
{
"name": "warmth",
"description": "warmth scale",
"@type": "propertyValue"
},
{
"name": "warmth_cent",
"description": "warmth 4 centered",
"@type": "propertyValue"
},
{
"name": "zwarmth",
"description": "warmth stdized, 4 centered",
"@type": "propertyValue"
},
{
"name": "comp",
"description": "competence scale",
"@type": "propertyValue"
},
{
"name": "comp_cent",
"description": "comp 4 centered",
"@type": "propertyValue"
},
{
"name": "zcomp",
"description": "comp stdized, 4 centered",
"@type": "propertyValue"
},
{
"name": "prefer",
"description": "prefer to work with",
"@type": "propertyValue"
},
{
"name": "prefer_cent",
"description": "prefer centered on 4",
"@type": "propertyValue"
},
{
"name": "zprefer",
"description": "prefer stdized, 4 centered",
"@type": "propertyValue"
},
{
"name": "promote_bonus",
"description": "prefer to promote or bonus",
"@type": "propertyValue"
},
{
"name": "promote_bonus_cent",
"description": "promote_bonus 4 centered",
"@type": "propertyValue"
},
{
"name": "zpromote_bonus",
"description": "promote_bonus stdized, 4 centered",
"@type": "propertyValue"
},
{
"name": "hire",
"description": "prefer to hire",
"@type": "propertyValue"
},
{
"name": "hire_cent",
"description": "hire 4 centered",
"@type": "propertyValue"
},
{
"name": "zhire",
"description": "hire stdized, 4 centered",
"@type": "propertyValue"
},
{
"name": "work_outcome_cent",
"description": "mean of prefer, promote_bonus, hire",
"@type": "propertyValue"
},
{
"name": "age",
"description": "age",
"@type": "propertyValue"
},
{
"name": "age_cent",
"description": "age mean centered",
"@type": "propertyValue"
},
{
"name": "gender",
"description": "gender",
"value": "1. Man,\n2. Woman,\n3. Other",
"maxValue": 3,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "gender_3_text",
"description": "gender text entry",
"@type": "propertyValue"
},
{
"name": "women_nonbin",
"description": "woman or nonbinary",
"@type": "propertyValue"
},
{
"name": "race",
"description": "race",
"value": "1. White,\n2. Black,\n3. Native,\n4. Asian,\n5. Pacific Islander,\n6. MENA,\n7. Multiracial,\n8. Other",
"maxValue": 8,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "race_7_text",
"description": "multiracial text entry",
"@type": "propertyValue"
},
{
"name": "race_8_text",
"description": "other race text entry",
"@type": "propertyValue"
},
{
"name": "hisp",
"description": "hispanic",
"@type": "propertyValue"
},
{
"name": "racev2",
"description": "race w hispanic recoded as a race",
"value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. MENA,\n8. Multiracial,\n9. Other",
"maxValue": 9,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "nonwhite",
"description": "any nonwhite race",
"@type": "propertyValue"
},
{
"name": "educ",
"description": "educational attainment",
"value": "1. <HS,\n2. HS,\n3. Some College,\n4. AA/2-year,\n5. BA/4-year,\n6. Postgrad",
"maxValue": 6,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "college",
"description": "any college degree",
"@type": "propertyValue"
},
{
"name": "empstat",
"description": "employment statys",
"value": "1. Full-time,\n2. Part-time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
"maxValue": 7,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "occ",
"description": "occupation",
"@type": "propertyValue"
},
{
"name": "working",
"description": "working full or part time",
"@type": "propertyValue"
},
{
"name": "manage",
"description": "manager",
"@type": "propertyValue"
},
{
"name": "manage_num",
"description": "number of people managing",
"value": "1. 1-5,\n2. 5-10,\n3. 10-25,\n4. >25",
"maxValue": 4,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "income",
"description": "income",
"@type": "propertyValue"
},
{
"name": "income_cent",
"description": "income mean centered",
"@type": "propertyValue"
},
{
"name": "sses",
"description": "subjective SES",
"@type": "propertyValue"
},
{
"name": "sses_cent",
"description": "sses mean centered",
"@type": "propertyValue"
},
{
"name": "polsoc",
"description": "conservatism in social matters",
"@type": "propertyValue"
},
{
"name": "polecon",
"description": "conservatism in economic matters",
"@type": "propertyValue"
},
{
"name": "pol",
"description": "mean of polsoc and polecon",
"@type": "propertyValue"
},
{
"name": "pol_cent",
"description": "pol mean centered",
"@type": "propertyValue"
},
{
"name": "blue_advantage",
"description": "p presented w findings such that blue group is harder working",
"@type": "propertyValue"
}
]
}`